AI Technology Unleashes Potential in Analyzing Coronary Angiography

Artificial Intelligence (AI) technology has shown remarkable potential in analyzing coronary angiography, a common diagnostic procedure for coronary artery disease, according to new research published in JMIR Cardio. The study showcases the power of AI-based quantitative coronary angiography (AI-QCA) in enhancing clinical decision-making. The study compared AI-QCA to intravascular ultrasound (IVUS) to validate its performance, finding that AI-QCA provided accurate and consistent measurements of coronary stenotic lesions, suggesting it could be safely used in clinical practice. AI-enabled QCA can automatically analyze 2D angiography images and help to determine optimal stent sizes, potentially improving patient outcomes and supporting clinical decision-making. While the study provides promising results, further research is required to fully explore the clinical utility and safety of AI-QCA.